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Persian MusicGen model fine-tuned with large dataset for cultural music generation

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a culturally-aware generative music model for Persian music, named Persian MusicGen. This model was fine-tuned using a newly curated dataset of over 900 hours of Persian audio samples, covering various genres. The fine-tuned model demonstrates improved adherence to Persian stylistic conventions compared to models trained on Western music. AI

IMPACT Enables more culturally relevant AI music generation, potentially opening doors for other niche musical styles.

RANK_REASON Publication of an academic paper introducing a new dataset and a fine-tuned generative model. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Persian MusicGen model fine-tuned with large dataset for cultural music generation

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Publication of an academic paper introducing a new dataset and a fine-tuned generative model. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Mahdieh Soleymani Baghshah ·

    Persian MusicGen: A Large-Scale Dataset and Culturally-Aware Generative Model for Persian Music

    Persian music, with its unique tonalities, modal systems (Dastgah), and rhythmic structures, presents significant challenges for music generation models trained primarily on Western music. We address this gap by curating the first large-scale dataset of Persian songs, comprising …

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